Data Engineer (Salesforce Data Cloud)

CareCone Group; Sydney; Ibrido; AUD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

CareCone Group is seeking a Data Engineer to work across Salesforce Data Cloud and Databricks Unified Data Platform, delivering scalable data pipelines and ingestion solutions for personalization at scale.

You will design, build, test, and deploy data models and pipelines, working across Dev to Prod with governance and documentation. This hybrid Sydney role requires 3–5+ years of experience and strong SQL/Python skills.

Competenze

• 3–5+ years hands-on data engineering experience in a complex enterprise.
• Experience with Salesforce Data Cloud including DMO/DSO development and ingestion.
• Strong knowledge of Databricks or similar UDP environments with batch/streaming patterns.
• SQL proficiency and at least one scripting language (Python preferred).
• Experience across multiple environments (Dev/SIT/UAT/Pre-Prod/Prod) with change governance.
• Ability to write clear technical documentation and data dictionaries.

Mansioni

• Design, build, test and deploy data pipelines and ingestion solutions for personalization at scale across batch and real-time channels.

Conoscenze

Data Engineering

SQL

Python

Salesforce Data Cloud

Databricks

Strumenti

Databricks

Unified Data Platform

Descrizione del lavoro

Skills: Data Engineer – Salesforce Data Cloud, Unified Data Platform & Decisioning

Hiring for Data Engineer ( SFDC )

Location- SYDNEY

Position- Permanent

Skills: Data Engineer – Salesforce Data Cloud, Unified Data Platform & Decisioning

About the Role

We are looking for a skilled and versatile Data Engineer to join our team - a role that spans two critical platforms: Salesforce Data Cloud, and Databricks (Unified Data Platform). This is a hybrid technical role that demands the ability to move fluidly between data engineering, solution build, and platform integration work.

You will be responsible for designing, building, testing, and deploying data pipelines, data model objects, and ingestion solutions that power personalisation capabilities at scale across batch and real-time channels.

Job Description

• 3–5+ years of hands‑on data engineering experience in a complex enterprise environment.
• Demonstrated experience with Salesforce Data Cloud - including DMO/DSO development, data ingestion, identity resolution, and end‑to‑end deployment lifecycle management.
• Strong working knowledge of Databricks, data lake, or similar UDP environment, including batch and streaming ingestion patterns and pipeline orchestration.
• Proficiency in SQL and at least one scripting language (Python preferred) for data transformation and pipeline development.
• Experience working across multiple delivery environments (Dev / SIT / UAT / Pre‑Production / Production) with formal change management and release governance processes.
• Ability to write clear technical documentation - implementation plans, data dictionaries, and solution design notes.

Note- Must have valid Australian work Authorization.